使用国家一级数据重新评估糖尿病和COVID-19结果
SuJung Jung1, Ji Young Choi2, Pradeep Tiwari2
1School of Nursing, California State University Long Beach, Long Beach, CA, USA.
Annals of epidemiology
|November 23, 2024
概括
糖尿病在美国成人调查中没有显著影响COVID-19测试或积极结果. 然而,糖尿病患者更有可能出现严重症状.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 慢性疾病管理 慢性疾病管理
背景情况:
- 糖尿病是美国成年人口中普遍存在的慢性疾病.
- 了解糖尿病对COVID-19结果的影响对于公共卫生至关重要.
- 以前的研究,通常是对住院患者进行的,表明糖尿病患者的风险更高.
研究的目的:
- 评估流行糖尿病和COVID-19检测采用之间的关联.
- 评估糖尿病和COVID-19测试阳性率之间的关系.
- 为了检查糖尿病和严重的COVID-19症状严重程度之间的联系.
主要方法:
- 利用了2020-2021年国家健康访谈调查 (NHIS) 的数据.
- 定义的COVID-19结果,包括测试采用,阳性,诊断和严重症状.
- 采用多变量调整后勤和有序后勤回归模型来分析关联.
主要成果:
- 总体而言,COVID-19测试采用率为50.7%,测试阳性率为9.4%.
- 在糖尿病患者和没有糖尿病患者之间没有观察到测试摄入量或阳性度的统计学上显著差异.
- 糖尿病患者患有严重COVID-19症状的可能性更高,尽管调整后的模型没有发现与被诊断为糖尿病的总体关联.
结论:
- 这些发现与之前对住院患者的研究有所不同,突出显示了潜在的数据源影响.
- 这项研究表明,糖尿病状况可能不会显著影响一般美国成年人群的COVID-19测试行为或阳性率.
- 研究人员和政策制定者应该批判性地评估数据源属性及其对公共卫生建议的影响,特别是在流行病期间.
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